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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

batchwise-dropout

Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each subject to 50% dropout, the corresponding matrix multiplications for forward- and back-propagation is 75% less work as the dropped out units are not calculated.

bazel

Correct, reproducible, and fast builds for everyone.

cmultivec

Fast C++ implementation of multiple prototype word representation training based on Huang Socher 2012

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

dcgan-autoencoder

deeplearningbook-chinese

Deep Learning Book Chinese Translation

familia

A Toolkit for Chinese Topic Modeling

front-end-developer-interview-questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

models

Models built with TensorFlow

my-blog

马云云在Github的学习片段

qlcoder

qlcoder

re2

RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

welcome2git

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow